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The regression discontinuity design

Author

Listed:
  • Denis Fougère

    (CNRS - Centre National de la Recherche Scientifique, LIEPP - Laboratoire interdisciplinaire d'évaluation des politiques publiques (Sciences Po) - Sciences Po - Sciences Po, CEPR - Center for Economic Policy Research - CEPR, IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics, CRIS - Centre de recherche sur les inégalités sociales (Sciences Po, CNRS) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique)

  • Nicolas Jacquemet

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

The regression discontinuity design is a quasi-experimental quantitative method that assesses the impact of an intervention by comparing observations that are close to an eligibility threshold fixed by the authorities in charge of the policy under study. The existence of such a threshold (for instance, becoming eligible to a policy at a certain age or below a certain income level) generates a treatment group and a control group, in a manner similar to an experimental approach.

Suggested Citation

  • Denis Fougère & Nicolas Jacquemet, 2023. "The regression discontinuity design," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04103359, HAL.
    • Handle: RePEc:hal:cesptp:hal-04103359
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-04103359
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